{ "schemaVersion": 1, "namespace": "appstore2031/storefront/v2", "editionId": "2031-2026-08-02", "candidateId": "category-006-candidate-01", "canonicalCandidateSha256": "3146a3fec2b1d7eb40f91e39fbc7e935b8b701199668ee0db05d652fd7772148", "fictionalDisclosure": true, "fiction": { "name": "EntryKindle", "developerName": "Earned Start Cooperative", "iconAsset": "/storefront/v2/icons/category-006-candidate-01.svg", "iconTheme": { "motif": "A distinct geometric mark derived from the fictional name.", "palette": "High-contrast spectral gradient.", "shapeLanguage": "Rounded app-store tile with a clear lettermark.", "accessibilityNote": "The name remains visible beside the icon; colour is not the only identifier." }, "storeDescription": "EntryKindle is a paid exchange for the real starter work that still teaches judgement. Employers post bounded tasks with a learning goal, hazards, time, wages and a named human supervisor. A learner completes the work, explains their choices and handles a safe variation. The supervisor gives feedback against public criteria. Instead of another course badge, the learner leaves with correctable proof that another member employer accepts—and a named paid task, apprenticeship or supported transfer to do next.", "rating": 4.7, "ratingLabel": "imagined 2031 rating", "reviews": [ { "reviewerAlias": "NiaBuilds", "title": "My first proof came from actual work", "body": "I was paid to diagnose a real pump fault with a mentor. The next employer watched the evidence and moved me straight to a supervised shift.", "stars": 5, "stance": "benefit", "fictionalDisclosure": true }, { "reviewerAlias": "ApprenticeDad", "title": "The next step was less certain than promised", "body": "The practice itself was excellent, but the receiving company delayed the promised place twice. The guarantee needs stronger consequences when a host changes its mind.", "stars": 3, "stance": "critical", "fictionalDisclosure": true } ] }, "category": { "id": "category-006", "name": "Skills, Safe Work and Next Steps", "plainLanguageDefinition": "Services that turn rapid changes in work into paid practice, safer jobs, trusted proof and a real next step. A listing must finish with something people can see: demonstrated skill, protected pay, a repaired system, a safer workload or a named paid destination.", "recurringBrowsePurpose": "A learner, worker, representative, employer or training body building capability, managing a work change, or correcting unsafe, unsupported and invisible human work.", "completion": { "trigger": "A work or learning change removes practice, hides human rescue, shifts blame, intensifies unsafe work or leaves a person without support, accepted skill evidence or a realistic next step.", "boundedWork": "Explain the change; provide paid supervised tasks, current instructions, tools, spares, safe access and a named mentor; record feedback, workload and intervention; protect pay, rest, care duties, stop and challenge routes; involve workers in redesign; issue limited portable proof; and arrange a supported next step.", "observableDone": "The person completes fresh supervised or maintenance work safely and on time, explains choices, responds to an error and demonstrates retained skill. They receive mentor feedback and accepted proof containing only needed evidence. They can see material tracking, stop danger, obtain due pay, rest or short support, keep chosen care duties and use a grievance route. Outcomes are reported by group and place, and a named paid next step or supported alternative follows." } }, "rank": { "mainChartPosition": 2, "rangeAcrossWeights": [ 1, 4 ], "dominantWorldIds": [ "W03" ], "whyAboveNext": "It ranks above MentorReservoir because an individual worker can call it at the moment they need experience, while a regional capability reserve depends on slower project procurement and public coordination.", "whyThisPosition": "It scores near the top because loss of entry routes could affect almost every sector and every geography, and the app promises a visible finish: paid work completed, judgement observed and a next step named. It sits below SparrowRun because cross-employer standards and anti-exploitation enforcement are a larger institutional leap.", "couldMoveUpIf": "It could take first place if major employers begin removing junior tasks quickly while jointly accepting paid, portable practical evidence from outside hosts.", "couldMoveDownIf": "It would fall if employers preserve ordinary junior roles, or if hosts use the exchange to rotate cheap learners through work that should be permanent employment.", "strongestCounterCase": "Conventional paid apprenticeships and protected junior jobs may be simpler and more accountable. A shared exchange could create a second-class labour tier whose members repeatedly practise but never receive stable work.", "publishedChartAppearances": [ { "chart": "main", "rank": 2, "worldId": null, "geographicLensId": null, "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W01", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W02", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W03", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W04", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W05", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W06", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W01", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W02", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W03", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W04", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W05", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W06", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W01", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W02", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W03", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W04", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W05", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W06", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W01", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W02", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W03", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W04", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W05", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W06", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W01", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W02", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W03", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W04", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W05", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W06", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W01", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W02", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W03", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W04", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W05", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W06", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W01", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W02", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W03", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W04", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W05", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W06", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W01", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W02", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W03", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W04", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W05", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W06", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W01", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W02", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W03", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W04", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W05", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W06", "geographicLensId": "other-material-paths", "weightSetId": null } ] }, "salesPromise": "Get the experience every employer asks for—even when machines have swallowed the old starter jobs.", "whatItDoes": { "headline": "A paid practice exchange for real work", "summary": "It finds paid, supervised pieces of real work for beginners, checks that each task genuinely teaches something, records human feedback, and turns successful practice into proof plus a concrete paid next step.", "steps": [ "The employer posts a paid practice task with its hazards, time limit, learning goal and named human supervisor.", "The learner completes the task with current instructions, tools and a visible stop control while the service records only selected work evidence.", "The supervisor reviews choices, introduces one safe error or variation and records feedback against published skill criteria.", "The learner receives limited portable proof and either a named paid next step or a supported transfer." ], "outcome": "The learner safely completes fresh work, explains important choices, responds to a problem and leaves with paid experience and correctable proof." }, "whyOnTheList": { "headline": "Entry routes need a new source of real practice", "summary": "If capable systems take over routine first drafts and simple starter tasks, young people can face a cruel loop: every job wants experience, but the work that used to create it has disappeared. EntryKindle forecasts a shared labour market for scarce learning-by-doing, with wages and human supervision built in so beginners are not used as unpaid replacements.", "why2031Not2026": "Job boards, apprenticeships and credentials exist now. The 2031 difference is that access to genuine entry-level repetitions has become scarce infrastructure shared across employers, and the resulting practical proof carries acceptance rights instead of being just another digital badge.", "worldShifts": [ { "shift": "By 2031, dependable machine assistance can absorb many first-draft tasks while transfer to unfamiliar work remains uneven.", "causalChain": [ "Routine starter work shrinks, so learners get fewer low-risk repetitions.", "Employers then ask for experience that newcomers cannot obtain.", "A shared exchange converts bounded live work into supervised paid practice.", "Portable, correctable proof makes the resulting skill usable at the next employer." ], "basis": "measured-trend", "evidenceIds": [ "EWF-04", "EWF-05" ], "worldIds": [ "W03" ], "evidenceLimit": "The sources support present conditions and directional pressures. This 2031 world, product, name and rank are reasoned forecast artefacts." }, { "shift": "By 2031, dependable machine assistance can absorb many first-draft tasks while transfer to unfamiliar work remains uneven.", "causalChain": [ "Routine starter work shrinks, so learners get fewer low-risk repetitions.", "Employers then ask for experience that newcomers cannot obtain.", "A shared exchange converts bounded live work into supervised paid practice.", "Portable, correctable proof makes the resulting skill usable at the next employer." ], "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W03" ], "evidenceLimit": "The sources support present conditions and directional pressures. This 2031 world, product, name and rank are reasoned forecast artefacts." } ], "whyRepeatedUse": "People return for new task families and employers return whenever tools or procedures change enough to require fresh supervised evidence." }, "futureDistance": { "cutoffBaseline": "In 2026, job boards, apprenticeships and digital credentials can connect people to training, but they do not dynamically recover real starter work lost to machine assistance across employers.", "structuralDifference2031": "The service treats access to paid real-work repetitions as shared labour infrastructure and ties every placement to proof transfer, stop power and a next step.", "essential2031Conditions": [ "Routine entry tasks have materially contracted across participating sectors.", "Cross-employer task and proof standards are accepted.", "Paid practice, human review and appeal rights are enforceable." ], "notJustBetterAI": "AI may help match tasks or prepare instructions, but the product exists to allocate scarce real work, supervision, rights and accepted human evidence.", "failureCondition": "If ordinary apprenticeships still provide enough paid real work or employers will not accept shared proof, a separate exchange is unnecessary." }, "howItCouldBeBuilt": { "overview": "Build a governed task exchange around existing payroll, training, safety and credential systems, adding shared task standards and worker-controlled evidence.", "components": [ { "name": "Practice task registry", "plainLanguageRole": "Lists real paid tasks, hazards, prerequisites, learning goals and available supervision." }, { "name": "Selective proof wallet", "plainLanguageRole": "Lets a worker carry verified outcomes and feedback without exposing a complete activity history." }, { "name": "Human review desk", "plainLanguageRole": "Handles disputed evidence, unsafe placements and requests for a fresh assessment." } ], "dependencies": [ { "kind": "institutional", "name": "Enforceable paid learner status", "plainLanguageRole": "Prevents employers from relabelling productive work as unpaid practice.", "causalRequirement": "Participating sectors recognise a paid practice status with wage, safety, insurance and representation rights.", "necessity": "essential", "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W03" ], "ifMissing": "The exchange becomes a source of free labour and should not list placements." } ], "hardestPart": "Creating enough paid, genuinely educational work without allowing hosts to replace ordinary jobs with a rotating learner workforce.", "whatCouldBeSimpler": "A conventional paid apprenticeship with one employer." }, "harmsAndFailure": { "whoBenefits": [ "Paid access to real experience", "A clearer route from practice to skilled work", "More visible demand for supervisors" ], "warnings": [ "Existing junior employees displaced by cheaper rotating placements", "Learners with disabilities or care duties if tasks are designed around one schedule", "Workers whose detailed activity data is over-collected" ], "waysItCouldFail": [ "Wage theft disguised as learning", "Biased supervisor judgements", "Surveillance through over-detailed practice records", "Unsafe pressure to finish a task" ], "abuseRisks": [ "Hosts repeatedly post normal vacancies as temporary practice", "Supervisors punish people who use stop controls", "Employers demand a complete evidence history" ], "safeguards": [ "Pay floors, placement caps and wage recovery", "Multiple reviewers and published criteria", "Worker-selected evidence with deletion and correction", "Protected stop, grievance and transfer rights" ], "whenItMustStop": "Freeze new placements at a host after a serious safety, wage or retaliation signal while preserving learner pay and records." }, "rankExplanation": { "whyThisRank": "It scores near the top because loss of entry routes could affect almost every sector and every geography, and the app promises a visible finish: paid work completed, judgement observed and a next step named. It sits below SparrowRun because cross-employer standards and anti-exploitation enforcement are a larger institutional leap.", "sourceWhyAboveNext": "It ranks above MentorReservoir because an individual worker can call it at the moment they need experience, while a regional capability reserve depends on slower project procurement and public coordination.", "plainEnglishWhyAboveNext": "It ranks above MentorReservoir because an individual worker can call it at the moment they need experience, while a regional capability reserve depends on slower project procurement and public coordination.", "couldMoveUpIf": "It could take first place if major employers begin removing junior tasks quickly while jointly accepting paid, portable practical evidence from outside hosts.", "couldMoveDownIf": "It would fall if employers preserve ordinary junior roles, or if hosts use the exchange to rotate cheap learners through work that should be permanent employment.", "basis": "design-inference", "evidenceIds": [ "EWF-04", "EWF-05", "PC-S03", "PC-S14", "SC-R01", "PC-S05", "PC-S06", "SC-R06", "PC-S07", "PC-S15", "SC-R04", "PC-S08", "HBD-11", "SC-R07", "PC-S09", "PC-S10", "SC-R10", "src-saudi-data-ai-strategy", "src-uae-ai-strategy-2031", "SC-R15", "src-eclac-ilia-2025", "SC-R21", "SC-R22", "src-au-continental-ai-strategy-2024", "SC-R18", "SC-R19" ], "worldIds": [ "W03" ], "evidenceLimit": "The score and rank are authored judgements over sealed concepts, not measurements of future adoption." }, "grounding": { "scores": { "futureDistance": 5, "needScale": 5, "globalBreadth": 4, "marketplaceClarity": 5, "deliveryReadiness2031": 4, "trustAndSafety": 4, "total": 92 }, "evidenceAnchors": [ { "statement": "Machine capability advances on bounded tasks while performance across unfamiliar conditions remains uneven.", "basis": "measured-trend", "evidenceIds": [ "EWF-04", "EWF-05" ], "worldIds": [ "W03" ] }, { "statement": "A paid exchange with human supervision and portable proof is a proposed institutional response, not an observed 2031 outcome.", "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W03" ] } ], "regionalVariation": [ { "geographyId": "united-states", "fit": "conditional", "explanation": "United States adoption depends on state wage rules, interstate proof recognition and whether sector compacts fund supervisors.", "evidenceIds": [ "PC-S03", "PC-S14", "SC-R01" ] }, { "geographyId": "mainland-china", "fit": "conditional", "explanation": "Mainland China could scale placements through large delivery systems, but provincial evidence portability and worker challenge routes require proof.", "evidenceIds": [ "PC-S05", "PC-S06", "SC-R06" ] }, { "geographyId": "european-union", "fit": "conditional", "explanation": "European Union fit turns on SME access, member-state recognition and enforceable worker data and appeal rights.", "evidenceIds": [ "PC-S07", "PC-S15", "SC-R04" ] }, { "geographyId": "india", "fit": "conditional", "explanation": "India has strong need across distributed infrastructure, but rural supervisor supply and state-level recognition remain uncertain.", "evidenceIds": [ "PC-S08", "HBD-11", "SC-R07" ] }, { "geographyId": "japan-and-republic-of-korea", "fit": "conditional", "explanation": "Japan and the Republic of Korea could connect supervised fleets and facility work to human skill paths if repair economics support paid practice.", "evidenceIds": [ "PC-S09", "PC-S10", "SC-R10" ] }, { "geographyId": "gulf-technology-economies", "fit": "conditional", "explanation": "Gulf technology economies could fund high-spec placements, but rights must cover migrant and resident workers equally.", "evidenceIds": [ "src-saudi-data-ai-strategy", "src-uae-ai-strategy-2031", "SC-R15" ] }, { "geographyId": "latin-america", "fit": "conditional", "explanation": "Latin American city and state programmes could aggregate tasks, while fiscal variation may limit wage and supervision guarantees.", "evidenceIds": [ "src-eclac-ilia-2025", "SC-R21", "SC-R22" ] }, { "geographyId": "africa", "fit": "conditional", "explanation": "African regional service systems may support portable practice, but maintenance budgets and assessor capacity are unresolved.", "evidenceIds": [ "src-au-continental-ai-strategy-2024", "SC-R18", "SC-R19" ] }, { "geographyId": "other-material-paths", "fit": "unknown", "explanation": "Other material paths need local evidence about paid task supply, supervisor capacity and recognition before fit can be claimed.", "evidenceIds": [] } ], "scenarioFit": [ { "worldId": "W03", "fit": "strong", "reason": "The assigned world increases the value of practical human judgement while making a governed source of real paid practice indispensable." } ], "resolutionCriteria": [ "Learners are paid for all productive time and can stop unsafe work without retaliation.", "Independent observation shows retained skill and error response, not just task completion.", "At least one receiving employer accepts the limited proof or funds a fresh review.", "Every unsuccessful placement ends with corrected records, due pay and a supported next option." ] }, "evidenceLimitations": "Observed and published evidence grounds the world pressures and present constraints. The category, product, developer, reviews, rating and exact rank are fictional forecasts and may be wrong.", "datedCollisionAudit": { "cutoff": "2026-08-02", "auditedAt": "2026-08-03T23:59:59.000Z", "verdict": "future-dependent-no-collision-found", "publicReason": "no-material-collision-found. This is a search screen, not a trademark search, legal opinion, worldwide clearance or guarantee that an unindexed product does not exist. Search results can be incomplete, stale, user-generated or affected by punctuation and word-boundary errors. The verdicts describe only the material returned on 2026-08-03, and no-material-collision-found must not be presented as legal clearance.", "closestMatches": [] }, "evidenceReferences": [ { "kind": "source", "id": "EWF-04", "title": "ILO, Generative AI and Jobs: A Refined Global Index of Occupational Exposure", "publisher": "ILO", "url": "https://www.ilo.org/publications/generative-ai-and-jobs-refined-global-index-occupational-exposure", "publishedAt": "2025-05-20", "accessedAt": "2026-08-01", "limitations": "Task exposure is not displacement, adoption, productivity or wage effect.", "evidenceClass": "measured-trend", "geographies": [ "Global", "Global/international" ] }, { "kind": "source", "id": "EWF-05", "title": "ILO/World Bank, Disruption without dividend?", "publisher": "ILO/World Bank", "url": "https://www.ilo.org/publications/disruption-without-dividend-how-digital-divide-and-task-differences-split", "publishedAt": "2026-03-17", "accessedAt": "2026-08-01", "limitations": "Internet access is a necessary but insufficient proxy for productive use; occupational structures will change.", "evidenceClass": "measured-trend", "geographies": [ "Multi-country", "Other/unspecified" ] }, { "kind": "source", "id": "PC-S03", "title": "United States Data Center Energy Usage Report: 2025 Update", "publisher": "Lawrence Berkeley National Laboratory", "url": "https://eta-publications.lbl.gov/publications/united-states-data-center-energy-2025", "publishedAt": "undated-at-access", "accessedAt": "2026-08-02", "limitations": "This is a US-only bottom-up model, not a global forecast. Shipment, lifetime, utilisation and cooling assumptions drive the range. It does not predict local tariffs, queue rules or who receives service.", "evidenceClass": "modelled-projection", "geographies": [ "United States" ] }, { "kind": "source", "id": "PC-S14", "title": "DOE Releases New Report Evaluating Increase in Electricity Demand from Data Centers", "publisher": "United States Department of Energy", "url": "https://www.energy.gov/articles/doe-releases-new-report-evaluating-increase-electricity-demand-data-centers", "publishedAt": "2024-12-20", "accessedAt": "2026-08-02", "limitations": "This short announcement adds little beyond the underlying LBNL report. Its 2028 scenario was later updated by LBNL's 2026 report.", "evidenceClass": "modelled-projection", "geographies": [ "United States" ] }, { "kind": "source", "id": "SC-R01", "title": "Our Epidemic of Loneliness and Isolation", "publisher": "United States Department of Health and Human Services, Office of the Surgeon General", "url": "https://www.hhs.gov/sites/default/files/surgeon-general-social-connection-advisory.pdf", "publishedAt": "2023-05-02", "accessedAt": "2026-08-02", "limitations": "Many reported health relationships are observational associations; United States evidence is not globally representative.", "evidenceClass": "measured-trend", "geographies": [ "United States" ] }, { "kind": "source", "id": "PC-S05", "title": "China releases plan to advance Digital China development", "publisher": "State Council of the People's Republic of China", "url": "https://english.www.gov.cn/news/202505/17/content_WS6827c405c6d0868f4e8f29cc.html", "publishedAt": "2025-05-17", "accessedAt": "2026-08-02", "limitations": "A target is not verified delivered or generally available capacity. EFLOPS measures are not automatically comparable across all hardware and workloads. The plan does not show that an individual can buy or move capacity freely.", "evidenceClass": "policy-intent", "geographies": [ "China" ] }, { "kind": "source", "id": "PC-S06", "title": "Systematically promote coordination between computing power and electricity and continue to increase green-power supply for data centres", "publisher": "National Data Administration of China", "url": "https://www.nda.gov.cn/sjj/swdt/sjdt/0318/20250318212051776584737_pc.html", "publishedAt": "2025-03-18", "accessedAt": "2026-08-02", "limitations": "The 80% figure is a policy objective, not independently verified achievement. PUE does not include all electricity-system, water, construction or chip impacts. This Chinese-language source requires careful translation and should not be paraphrased as a global rule.", "evidenceClass": "measured-trend", "geographies": [ "China" ] }, { "kind": "source", "id": "SC-R06", "title": "China targets wider mutual-aid eldercare coverage by 2030", "publisher": "State Council of the People's Republic of China", "url": "https://english.www.gov.cn/news/202604/29/content_WS69f1abd1c6d00ca5f9a0ab18.html", "publishedAt": "2026-04-29", "accessedAt": "2026-08-02", "limitations": "A target is not proof of implementation, equitable access, service quality or social-connection outcomes.", "evidenceClass": "policy-intent", "geographies": [ "China" ] }, { "kind": "source", "id": "PC-S07", "title": "The AI Continent Action Plan", "publisher": "European Commission", "url": "https://digital-strategy.ec.europa.eu/en/library/ai-continent-action-plan", "publishedAt": "2025-04-09", "accessedAt": "2026-08-02", "limitations": "This is a policy plan, not proof that gigafactories or tripled capacity are operating. EU-wide goals hide national grid and permitting differences. The source does not establish open public access to supercomputing capacity.", "evidenceClass": "policy-intent", "geographies": [ "European Union" ] }, { "kind": "source", "id": "PC-S15", "title": "Robotics", "publisher": "European Commission", "url": "https://digital-strategy.ec.europa.eu/en/policies/robotics", "publishedAt": "2026-03-27", "accessedAt": "2026-08-02", "limitations": "A policy page is not deployment data. It does not establish that open-world autonomy will be reliable by 2031. Regulated care, transport, safety and security duties cannot be delegated to private software merely because a robot is involved.", "evidenceClass": "policy-intent", "geographies": [ "European Union" ] }, { "kind": "source", "id": "SC-R04", "title": "Household composition statistics", "publisher": "Eurostat", "url": "https://ec.europa.eu/eurostat/statistics-explained/SEPDF/cache/29071.pdf", "publishedAt": "undated-at-access", "accessedAt": "2026-08-02", "limitations": "Household form does not measure loneliness or belonging; member-state patterns vary.", "evidenceClass": "measured-trend", "geographies": [ "European Union" ] }, { "kind": "source", "id": "PC-S08", "title": "India's Common Compute Capacity Crosses 34,000 GPUs", "publisher": "Press Information Bureau, Government of India", "url": "https://www.pib.gov.in/PressReleasePage.aspx?PRID=2132817&lang=1®=3", "publishedAt": "2025-05-30", "accessedAt": "2026-08-02", "limitations": "Empanelled capacity is not the same as continuously available capacity. GPU counts do not capture performance differences, networking, storage or software readiness. Government reporting is not evidence that every person can access every listed resource.", "evidenceClass": "measured-trend", "geographies": [ "India" ] }, { "kind": "source", "id": "HBD-11", "title": "Health-system digital interventions", "publisher": "Government of India Press Information Bureau", "url": "https://www.pib.gov.in/PressNoteDetails.aspx?ModuleId=3&NoteId=154146&lang=1®=46", "publishedAt": "undated-at-access", "accessedAt": "2026-08-01", "limitations": "Government administrative counts do not by themselves establish unique active users, clinical quality, outcome gains or inclusion.", "evidenceClass": "measured-trend", "geographies": [ "India" ] }, { "kind": "source", "id": "SC-R07", "title": "Elderly in India 2021", "publisher": "Government of India Ministry of Statistics and Programme Implementation", "url": "https://mospi.gov.in/sites/default/files/publication_reports/Elderly%20in%20India%202021.pdf", "publishedAt": "undated-at-access", "accessedAt": "2026-08-02", "limitations": "2031 figures are projections; national totals conceal large state, gender, rural and income differences.", "evidenceClass": "measured-trend", "geographies": [ "India, with state-level variation" ] } ], "rankingIndexPath": "rankings/category-006/index.json", "sourceReceipts": [] }